期刊文献+

基于遥感技术的开滦煤矿地面塌陷积水动态监测 被引量:24

THE DYNAMIC DETECTION OF GROUND COLLAPSE WATER LOG IN THE KAILUAN COAL MINE BASED ON THE REMOTE SENSING TECHNIQUE
下载PDF
导出
摘要 利用MSS、TM/ETM及CBERS-2数据,对开滦煤矿地面塌陷积水进行了动态监测。通过对4个时相遥感信息的提取,得到了28 a来开滦煤矿地面塌陷积水的动态信息。结果表明,遥感技术是对矿区地面塌陷积水进行监测的一种很好的方法,在矿区积水信息的提取中采用CBERS-2数据,可以取得较好的效果。 This paper deals with the technique of dynamic remote sensing monitoring of the ground collapse water log situation in the Kailuan coal mine by using MSS, TM/ETM and CBERS -2 data. With this technique, the dynamic information of the ground collapse water log situation of the Kailuan coal mine in the past 28 years was obtained. It is found that the remote sensing technique is quite effective in monitoring the ground collapse water log situation in the mining area, and the information obtained can reveal the development of the ground sinking in the mining area. The CBERS - 2 data obtained in the extraction of the water log information prove to be fairly valuable.
出处 《国土资源遥感》 CSCD 2007年第3期94-97,I0010,共5页 Remote Sensing for Land & Resources
基金 国家863计划项目(2005AA644030-8)资助
关键词 遥感 地面塌陷 动态监测 积水 Remote sensing Ground sinking Dynamic inspection Seeper
  • 相关文献

参考文献6

二级参考文献20

  • 1团体著者,湖北国土资源,1985年
  • 2Rundquist D, Lawson M, Queen L, et al. The Relationship Between the Timing of Summer-Season Rainfall Events and Lake-Surface Area[J]. Water Resources Bulletin, 1987, 23(3): 493-508.
  • 3Boland D H P. Trophic Classification of Lakes Using Landsat-1(ERTS-1) Multispectral Scanner Data[A]. US EPA, Office of Research and Development, Corvallis Environmental Research Laboratory[A], Corvallis, Oregon, 1976.
  • 4McFeeters S K. The Use of Normalized Difference Water Index(NDWI) in the Delineation of Open Water Features[J]. International Journal of Remote Sensing, 1996, 17(7): 1425-1432.
  • 5Jensen J R. Introductory Digital Image Processing: A Remote Sensing Perspective[M]. NJ: Prentice Hall Logicon Geodynamics, Inc., 1996.
  • 6Rouse J W, Haas R H, Schell J A, et al. Monitoring Vegetation Systems in the Great Plains with ERTS[A]. Third ERTS Symposium[C], 1973, NASA SP-351, 1: 309-317.
  • 7Gao B C. NDWI-A Normalized Difference Water Index for Remote Sensing of Vegetation Liquid Water from Space[J]. Remote Sensing of Environment, 1996, 58: 257-266.
  • 8Wilson E H, Sader S A. Detection of Forest Harvest Type Using Multiple Dates of Landsat TM Imagery[J]. Remote Sensing of Environment, 2002, 80: 385-396.
  • 9陈香伟,王立朋.滚动轴承温升影响因素探讨[J].哈尔滨轴承,2008,29(1):69-69. 被引量:6
  • 10张宝光.人工神经网络在遥感数字图像分类处理中的应用[J].国土资源遥感,1998,10(1):21-27. 被引量:36

共引文献1452

同被引文献191

引证文献24

二级引证文献84

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部